Experiment :
funny-chateau

Structure Complexes Generated

6

Combined Score

-171.03 ±9.496

Interface RMSD

1.064 ±0.643

DockQ Score

0.793 ±0.131

Docking Performance Distribution
Heavy Chain Sequence
EVRLVESGAGVKKPGESVKISCKVSGNSFNSVSYWWSWIRQPGGEGLEWMGWMYPGSGNGKNYNDSFQGQVTIATDKQTNTAWLQLNALKPTKTAVYYCARHATYDVFGNGPYWGLSGGDIWGLGTLVTVSS
Light Chain Sequence
GAVLTQSPSTIGVSTGDRVTISCRASQSLVHSDVYSYLAVDYQRKPSRTGRLLIYGASERPTGGPSRFNGSGSGHDYTRTISYKTYRVQQEAFAVFYCQFDNNTPTISFYDSYTQGHKVEIKTTK
Best-Scoring Complex: mdscoring_6.pdb

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Individual Performance
model md5 caprieval_rank score irmsd fnat lrmsd ilrmsd dockq cluster-id cluster-ranking model-cluster-ranking air angles bonds bsa cdih coup dani desolv dihe elec improper rdcs rg total vdw vean xpcs
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FrankIES : Scalable, AI-Based Antibody Design Against 2025 H5N1 Avian Influenza Isolates

FrankIES (Frankie Immune Engineering Suite) is a computational pipeline for antibody engineering that integrates multiple advanced tools:

  • Diffusion: EvoDiff v1.1.0 (Docker container: cford38/evodiff:v1.1.0)
  • Folding: ESM
  • Docking: HADDOCK3 (Docker container: cford38/haddock:3)

Host System: Ubuntu 22.04 with NVIDIA 560 drivers and CUDA 12.6

The pipeline automates the complex process of antibody design, folding, docking, and evaluation, providing comprehensive results visualization through this interactive report.